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Multimodal fusion of brain signals for robust prediction of psychosis transition

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.25.563602Source: DataRank Database

Multimodal fusion of brain signals for robust prediction of psychosis transition is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Enrichment:Funding (3 grants)OA: greenTopics (21)IDs (PubMed, OpenAlex)

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Authors (6)

Pablo Polosecki ORCID,Eduardo Castro ORCID,Cheryl M. Corcoran ORCID,Guillermo Cecchi ORCID,Tiziano Colibazzi

Live enrichment

PubMed:38773120 OpenAlex:https://openalex.org/W4388109211

National Institutes of Health

Grant: 5R01MH107558-06

Thought disorder and social cognition in clinical risk states for schizophrenia

National Institutes of Health

Grant: 1R21MH086125-01

Olfaction in the Psychosis Prodrome: Behavioral and ERP Measures

National Institutes of Health

Grant: 1U24MH124629-01

Psychosis Risk Evaluation, Data Integration and Computational Technologies (PREDICT): Data Processing, Analysis, and Coordination Center

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/10/29/2023.10.25.563602.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.10.25.563602

repositoryhttps://doi.org/10.1101/2023.10.25.563602

https://doi.org/10.1038/s41537-024-00464-2

Fields of Study

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsSchizophrenia research and treatment03 medical and health sciences0302 clinical medicine

Keywords

PsychosisArtificial intelligenceNeuroimagingMultiple kernel learningMachine learningLeverage (statistics)PsychologyThalamusComputer scienceNeuroscienceCognitive psychologyPattern recognition (psychology)Support vector machinePsychiatryRC435-571Article